{"id":"W4392158745","doi":"10.1109/globecom54140.2023.10437218","title":"Task Offloading and Resource Management for CBTC via Multi-Hop Ad Hoc Network and MEC","year":2023,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Vehicular ad hoc network; Mobile ad hoc network; Hop (telecommunications); Resource management (computing); Task (project management); Distributed computing; Operating system; Wireless; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004734247,0.0001511586,0.0001818017,0.00007496378,0.0002615503,0.0001752347,0.000271909,0.00006305502,0.000006129754],"category_scores_gemma":[0.000002349947,0.0001335259,0.00003666,0.0003291885,0.00004659351,0.0001477721,0.0005027119,0.00007447953,0.00001741529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001131666,"about_ca_system_score_gemma":0.000008626602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003998447,"about_ca_topic_score_gemma":0.000009197432,"domain_scores_codex":[0.9987036,0.00002755988,0.000208241,0.0004721545,0.0001497309,0.0004387158],"domain_scores_gemma":[0.9992457,0.0001871029,0.00005382531,0.0003229912,0.00002446582,0.0001659019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002410917,0.00002061778,0.0002243773,0.00005987193,0.00005713826,0.00006996255,0.000376492,0.0003234017,0.00001410048,0.01916377,0.07050423,0.9091619],"study_design_scores_gemma":[0.000581214,0.00006046612,0.0004896534,0.00003435666,0.00001719077,0.00001139302,0.0001001631,0.9003478,0.00000241956,0.00263929,0.09553292,0.0001831746],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001423865,0.0006268717,0.9921551,0.0007283136,0.000253218,0.0003583388,0.000002358556,0.000311141,0.004140758],"genre_scores_gemma":[0.5677933,0.001166934,0.4019588,0.002888312,0.0003678936,0.0001207805,0.00002963871,0.0000482402,0.02562616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9089788,"threshold_uncertainty_score":0.5445026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735718865457607,"score_gpt":0.248785453804997,"score_spread":0.2214282651504209,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}